Professional Experience

As a Senior Data Scientist (Agentic AI) in Guardian Life, led initiatives to automate and optimize RFP (Request for Proposal) documents using advanced AI techniques, significantly improving data extraction accuracy and operational efficiency through systematic prompt engineering and evaluation strategies.

• RFP Documentation Automation System (Agentic AI):
  • Spearheaded the development of an Agentic AI system to automate RFP documentation processes.
  • Improved prompt engineering through comprehensive analysis of RFP documentation structures.
  • Developed thorough documentation of the RFP AI project including system architecture and data flows.
  • Implemented comprehensive logging to track extraction accuracy and system performance metrics.
  • Enhanced confidence score calculations by refining logic to better reflect extraction certainty.
  • Applied advanced AI knowledge by configuring LLM parameters strategically.
  • Increased accuracy of marketing contact extraction by 35% and boosted confidence scores by 28%.
  Tech: Amazon AWS EC2, Bedrock, boto3, Claude Sonnet, Prompt Engineering, LLM Configuration, loguru, logging.

Worked in end-to-end development of AI projects, mentored team members, and built models for forecasting, recommendation, and adverse event detection using patient and drug data.

• AI Chatbot for on-demand KPI Access (Agentic AI Chatbot):
  • Led end-to-end development of AI chatbot for Pfizer patient data enabling real-time KPI access.
  • Setup MLOps using CI/CD workflows and monitored performances.
  • Saved 400 human working hours, translating to $3M in freed working capital.
  Tech: Data Security, OpenAI, Langchain, FastAPI, Azure Web Apps, Azure DevOps, LLMs, Agentic AI.
• Recommending Next Best Item (Recommendation System):
  • Developed recommender engine to suggest next best drugs to sell for given pharmas.
  • Scaled pipeline to process millions of data records.
  • Enabled extra capital of $2M quarterly based on newly recommended products.
  Tech: Recommendation Engine, Collaborative Filtering, PySpark, Databricks, Snowflake, Keras, PyTorch.
• Out-of-pocket Cost Prediction (Regression Modelling):
  • Developed end-to-end ML system to predict patient out-of-pocket costs for therapy claims.
  • Architected feature engineering pipeline processing 10M+ monthly claims.
  • Engineered two-part models and quantile regression to handle zero-inflated cost distributions.
  Tech: Python, PySpark, Gradient Boosting, Two-Part Models, Quantile Regression, Tweedie Regression, MLflow, Great Expectations.
• Sales Forecasting & Demand Planning (Timeseries Modelling):
  • Developed advanced time series model incorporating historical sales, seasonality and promotional activities.
  • Reduced stockouts by 15% and improved forecast accuracy by 20%, saving $3M.
  Tech: ARIMA, Prophet, LSTM, Pycaret, Greykite, XGBoost, CatBoost, darts, statsmodels, nixtla, TimeGPT, bambi.
• Cross-Functional Dashboard (PowerBI Reports):
  • Created executive dashboards for market share, revenue, and operational KPIs.
  • Collaborated with internal teams and external vendors to unify data pipelines.

Worked as a Data Scientist specializing in Natural Language Processing and data analysis, leading multiple healthcare-related projects and providing end-to-end solutions.

• LLM-Based Text Classification:
  • Fine-tuned BioBERT to classify clinical notes and extract adverse drug events.
  • Enabled real-time alerts for high-risk cases, improving response time by 30%.
  • Implemented Confidence Scoring to evaluate model performance.
  Tech: Transformers, BioBERT, OpenAI, spaCy, sciSpacy, NLP, LLMs.
• Competitor Market Analysis:
  • Conducted market analysis of sales data and presented actionable insights via PowerBI.
  Tech: PowerBI, DAX, Visualization, Business Intelligence, pandas, spark.
• Shipment Delay Anomaly Detection:
  • Built anomaly detection models for logistics delays using PyOD and weather data.
  • Reduced delivery disruptions by 22% through early alerts and root cause analysis.
  Tech: Isolation Forest, Local Outlier Factor, One-Class SVM, PyOD.
• A/B Testing & Web Optimization:
  • Designed and executed A/B tests for a company tools page, leading to 17% increase in user engagement.
  • Performed statistical analysis (Chi-squared test, T-tests) to evaluate metric lift.
  Tech: Experimental Design, Hypothesis Testing, Statistical Significance, Confidence Intervals, Power Analysis, statsmodels, scipy, numpy, pandas.
• Fraud Detection System:
  • Implemented fraud detection model, improving Recall by 15%.
  • Developed custom evaluation metric and used anomaly detection methods as features.
  Tech: XGBoost, LightGBM, scikit-learn, Isolation Forest, Classification, scikit-lego, bambi, statsmodels.